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Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

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pymacbit/README.md

Hi there 👋

I'm a Machine Learning freelancer, Python Programmer & Developer. I mostly work with ML and Deep Learning algorithms to solve NLP, computer vision and Data Science problems. I've also had experience with Android app and Website Development. So just feel free to talk to me about all Tech and Nerdy stuff.

And When it comes to offline activities, I hugely enjoy travelling, reading and exploring new Place.

  • 👨🏽‍💻 Current work in NLP and ComputerVision.
  • 🤝 Open for collaborations in deep learning, analytics and data science.
  • 🌐 Visit my porfolio website for complete background and contact.

To connect with me,

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  1. BERT-Intent-Classification BERT-Intent-Classification Public

    BERT model for text Intent classification to Train and evaluate for detecting seven intents.

    Jupyter Notebook 11 7

  2. Product-Recommendation-Word2vec-NLP-Model Product-Recommendation-Word2vec-NLP-Model Public

    In this repo, I Implemented word2vec NLP Model to create a Recommendation engine that automatically recommends a certain number of products to its consumers based on historical purchase behavior.

    Jupyter Notebook 1

  3. FACEREC FACEREC Public

    Classification Based CNN Model To Identify Person and Face Emotions

    Python

  4. ML-Colab-Book ML-Colab-Book Public

    Complete resources of Machine Learning concepts in ipynb Files working on Google Colab

    Jupyter Notebook 4 2

  5. Sales-Predication-wishDataset Sales-Predication-wishDataset Public

    ML Interview Hiring Assignment's Solution

    HTML

  6. Spam-Classification-BertTokenizer-Model Spam-Classification-BertTokenizer-Model Public

    This repository contains a Spam classifier BERT Model to classify and Predict Text as spam or not spam. Model Accuracy 97.7% with GPU enabled.

    Jupyter Notebook 1